0
RESEARCH PAPERS

Extreme Value Analysis of North Sea Storm Severity

[+] Author and Article Information
C. Elsinghorst, P. Groeneboom, L. Smulders

Delft University of Technology, The Netherlands

P. Jonathan

Shell Research Thornton, P.O. Box 1, Chester CH1 3SH, U.K.

P. H. Taylor

Shell Research Rijswijk, The Netherlands

J. Offshore Mech. Arct. Eng 120(3), 177-183 (Aug 01, 1998) (7 pages) doi:10.1115/1.2829538 History: Received September 01, 1997; Revised March 01, 1998; Online December 17, 2007

Abstract

In this paper we consider the estimation of North Sea storm severity, for storms with return periods in the interval 100 to 500 yr. The analysis consists of: modeling the tail-distribution for a set of data for storm severity (using, e.g., storm hindcast data); estimating extreme storm severity; estimating confidence intervals for extreme storm severity; validating the bias and variance of estimates using simulation studies, for known underlying model forms; and estimating the robustness of extreme quantile estimates with respect to misspecification of the underlying model for the tail-distribution of storm severity. Applications to NESS (Northern European Hindcast Study) hindcast data at clusters of locations in the northern, central and southern North Sea are considered. Results suggest, in particular, the existence of a physical upper limit for storm severity in the North Sea and a close to constant value for the extreme value index, γ ≈ −0.2.

Copyright © 1998 by The American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In